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Geographers vs Statisticians

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Geographers and Statisticians on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Geographers Statisticians
Median pay · BLS OEWS
$97,200
$103,300
Employment · BLS OEWS
1,380
29,800
AI exposure (percentile) · task overlap, not automation
97th pct
92nd pct

At a glance

Dimension Geographers Statisticians
Median pay $97,200 $103,300
Employment 1,380 29,800
Employment outlook (2024–34) · BLS projection Declining (-3.1%) Growing fast (+8.5%)
Annual openings · BLS projection 100 2,000
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
AI exposure · published exposure studies High · 97th pct High · 92nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 86th pct · 48% of tasks 94th pct · 56% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (41.7%) Augmentation-leaning (54.2%)
Mostly remote-capable · Dingel–Neiman Yes Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Reading Comprehension, Writing, Written Comprehension, Written Expression, Inductive Reasoning, Speaking, Critical Thinking, Oral Comprehension, Oral Expression, Deductive Reasoning, Near Vision, English Language, Active Listening, Computers and Electronics, Information Ordering, Speech Recognition, Speech Clarity, Active Learning, Judgment and Decision Making, Problem Sensitivity, Category Flexibility, Education and Training, Complex Problem Solving, Science, Systems Analysis, Fluency of Ideas, Learning Strategies, Instructing, Systems Evaluation, Originality, Flexibility of Closure, Mathematics, Monitoring, Coordination, Time Management.

Specific to Geographers

  • Geography
  • Sociology and Anthropology
  • Perceptual Speed
  • Social Perceptiveness
  • Service Orientation

Specific to Statisticians

  • Mathematical Reasoning
  • Number Facility
  • Programming
  • Operations Analysis

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Object or component oriented development software , Data base user interface and query software , Analytical or scientific software , Spreadsheet software , Office suite software , Presentation software , Word processing software .

Specific to Geographers

Specific to Statisticians

Full profiles

This page is a summary. See the complete source-backed profile for Geographers or Statisticians — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Geographers vs Statisticians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/geographers-vs-statisticians

APA

Singulariki. (2026). Geographers vs Statisticians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/geographers-vs-statisticians

BibTeX 
@misc{singulariki-geographers-vs-statisticians,
  title  = {Geographers vs Statisticians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/geographers-vs-statisticians}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.